Credibility of algorithm based decentralized computer networks governing personal finances: the case of cryptocurrency S Ahangama, DCC Poo HCI in Business, Government, and Organizations: eCommerce and Innovation …, 2016 | 23 | 2016 |
Eavesdropping Attack Detection using Machine Learning in Network-on-Chip Architectures C Sudusinghe, S Charles, S Ahangama, P Mishra IEEE Design & Test 39 (6), 28-38, 2022 | 6 | 2022 |
Latent User Linking for Collaborative Cross Domain Recommendation S Ahangama, DCC Poo arXiv preprint arXiv:1908.06583, 2019 | 5 | 2019 |
Cross Domain Approximate Matching of User Shared Content for User Entity Resolution S Ahangama, DCC Poo International Conference on Information Systems (ICIS), 2018 | 5 | 2018 |
Modelling Wikipedia’s Information Quality using Informativeness, Reliability and Authority C Sugandhika, S Ahangama, S Ahangama 2021 3rd International Conference on Advancements in Computing (ICAC), 169-174, 2021 | 2 | 2021 |
Application of Deep User Activity Transfer Models for Cross Domain User Matching S Ahangama, DCC Poo International Conference on Information Systems (ICIS), 2019 | 2 | 2019 |
Prediction of Domain Values: High throughput screening of domain names using Support Vector Machines Z Bikadi, S Ahangama, E Hazai arXiv preprint arXiv:1707.00906, 2017 | 2 | 2017 |
Dynamic Stop-Loss Approach for Short Term Trades using Deep Learning IK Samarasekara, OK Mendis, S Ahangama, AS Atukorale 2022 IEEE International Conference on Big Data (Big Data), 3537-3546, 2022 | 1 | 2022 |
Computational Psychiatry to Bridge the Gap between Data-driven and Theory-Driven Approaches: A Review S Ahangama, I Perera Enabling Technology for Neurodevelopmental Disorders, 142-161, 2022 | 1 | 2022 |
Expectation Shortfall in the Highly Specialized B2B IT Innovation. YQ Dong, S Ahangama, L Han, CS Heng ECIS, ResearchPaper120, 2016 | 1 | 2016 |
Why Innovations of Capital Market IT Systems Fail to Diffuse into the General Public? S Ahangama, DCC Poo HCI in Business: Second International Conference, HCIB 2015, Held as Part of …, 2015 | 1 | 2015 |
Hardware implementation of motion blur removal TN Chandrapala, L Cabral, S Ahangama, TS Ambagahawaththa, ... 22nd International Conference on Field Programmable Logic and Applications …, 2012 | 1 | 2012 |
A Novel Approach for Deep Learning-Powered Forecasting of Market Bottoms in Cryptocurrency and Stock Trading D Dasanayake, HY Dilshan, H Rathnaweera, S Ahangama, I Perera 2023 IEEE International Conference on Big Data (BigData), 1481-1486, 2023 | | 2023 |
Deep Learning Based Personalized Stock Recommender System N Wijerathne, J Samarathunge, K Rathnayake, S Jayasinghe, ... International Conference on Neural Information Processing, 362-374, 2023 | | 2023 |
An Integrated Approach to ESG Index Construction with Machine Learning M Gamlath, C Gunathilaka, A Wijesinghe, S Ahangama, I Perera, ... 2023 Moratuwa Engineering Research Conference (MERCon), 252-257, 2023 | | 2023 |
Incorporating User Activity Data for Improved User Entity Resolution S Ahangama National University of Singapore (Singapore), 2019 | | 2019 |